Artificial intelligence publications

We outline the challenges and opportunities presented by constraint solving in the presence of change and uncertainty, embodied in CALO's personalized time management and task reasoning and execution systems.

This article describes the findings of a recent workshop series that has produced an ontology framework for representing video events-called Video Event Representation Language (VERL) -and a companion annotation framework,…

This paper presents ongoing work to build the Personalized Time Manager (PTIME) system, a persistent assistant that builds on our previous work on a personalized calendar agent (PCalM) (Berry et…

We describe an approach that tracks planar regions of scene text that can undergo arbitrary 3-D rigid motion and scale changes. Our approach computes homographies on blocks of contiguous frames…

This paper presents a new human-motion identification and segmentation algorithm from moving cameras. The algorithm is based on alignment error between pairs of moving object images. Pairs of object images…

We use the Sequitur algorithm to generate a context-free grammar which efficiently extracts repetitive sequences of commands executed by one user – which is mainly used to generate a profile of the…

In this paper, we report on a process language, PPL, that we have designed to serve as a bridge between a representation designed for execution and a representation designed for…

This paper explores the mixed-initiative issues arising in the Personalized Time Manager (PTIME) system. PTIME is a persistent assistant that builds on our previous work on a personalized calendar agent.

This paper presents ongoing work to build the Personalized Time Manager (PTIME) system, a persistent assistant that builds on our previous work on a personalized calendar agent.

We generated a TOEFL-like test using WordNet, containing thousands of questions and composed only of words occurring with sufficient corpus frequency to support sound distributional comparisons.